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Experience with cloud and big data technologies to extract and analyze data (Snowflake, S3, Redshift, Athena, Hive, BigQuery, Spark, etc). Familiarity with housing and economic datasets a strong plus (i.e. demographic data such as Census, Claritas and economic time series data such as provided by Moody's Analytics and micro data such as IPUMS and other loan-level mortgage databases.
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Experience driving security, compliance, and disaster recovery in all aspects of a data platform Deep Experience with the following: Public cloud-native offerings (AWS, GCP, Azure) Kubernetes & Container-based hosting strategies SQL and NoSQL databases (Postgres, Cassandra, MongoDB, Neo4j, DynamoDB, etc.
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Our paid focus group members come from all backgrounds and industries including remote data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or factory workers, driver, medical assistant, nurse, call center representative, etc.
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Proficient in data visualization and self-serve BI tools such as Tableau, Tellius, or Power BI. Advanced technical proficiency in data analysis tools such as SQL, Python, Alteryx, and Excel.
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This role involves ensuring the accuracy and reliability of all deliverables created from LiDAR and imagery data from both manned and unmanned aircraft, troubleshooting technical issues, and conducting quality control checks.
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The purpose of this Environmental Scientist position is to lead the Program's vegetation monitoring and data analysis activities, conduct complex geographical analysis tasks, as well as plan, oversee, and implement forest and woodland management activities.
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Reporting to the Chief Information Officer the Data Engineer is primarily responsible for developing and maintaining robust data integration pipelines between various systems such as internal OLTP databases, third-party vendor platforms, and an Enterprise Data Warehouse (EDW), scoping requirements for advanced reports, developing metrics and dashboards, and making recommendations for process improvement based on analysis of historical data.
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As the Digital Marketing Associate with Fagron Sterile Services US (FSS), 503B Outsourcing, you will dive headfirst into cross-functional collaboration to support campaigns, data-based decision making, storytelling, and develop strategic business solutions in the digital space.
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Minimum 10 years of relevant work experience to include data management and/or database programming and spec Design activities including 10 years in Medidata RAVE. Knowledge of clinical trial process and data management, CRF/eCRF Design, CDISC. Working knowledge of the relationship and regulatory obligation of the CRO industry with pharmaceutical / biotechnological companies.
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Having good understanding of Teamcenter Data Model and database schema of BOM, document management, change management, manufacturing planner. Experience with data migration, mapping, data validation to Teamcenter from legacy applications ,Tc Enterprise etc.
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Full-stack development experience (Java, Javascript, Angular/Typescript, SQL), web services and API ecosystems / client-server environments, Data Visualization, Analytics, Cloud. Experience with Google & GCP data technologies (BigQuery, Cloud SQL, Data Studio), or equivalent technologies in the market.
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Manage Systems: Lead the implementation, maintenance, monitoring, and upgrade of district-wide safety technology platforms, including security cameras, access control systems, panic alert technology, tip lines, visitor and volunteer management software, emergency management systems, and safety data dashboards.
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Experience with big data technologies and tools (e.g., Databricks, Hadoop, Spark) is a plus. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
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As part of your work, you will dismantle threat intelligence, use data analysis and cutting-edge security technologies to perform threat actor based investigations, create new detection methodologies, and provide expert support to incident response and monitoring functions where need be.
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Complete audits to assess accuracy and quality of scientific data submitted to the regulatory agencies in support of in vivo medical devices and in vitro diagnostic devices' application. University or technical college degree or equivalent qualification in relevant sciences such as: Medicine, Pharmacy, Chemistry, Biochemistry, Biology, Microbiology, Biotechnology, Health Technology, Toxicology, Physics, Biophysics, Material Science Biomedical Engineering, Mechanical, Electrical or Electronic Engineering, Computer & Software Technology, Human Physiology, Nursing, Quality Management.
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data job Title: scientist Company: Federal Bureau Of Investigation Fbi in Austin, TX
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